心电QRS积分信号的非线性分析

Analysis of Nonlinear Behavior in Cardiac QRS-waves Integral

QRS波群积分能反映心室去极化活动,为不少心电研究者所重视。本文采用了非线性的分析方法,在非线性去噪的基础上重构此积分信号的相空间,计算了吸引子的相关维数与最大L yapunov指数值,分析了QRS波群积分的混沌特征。利用MIT- BIH心电数据库数据分析了多种情况下QRS波群积分的非线性指标变化特点,并同HRV信号非线性分析相比较,发现在某些情况下对QRS波群积分序列分析更具有优势。结论是利用QRS波群积分信号的非线性指标可对心脏功能做出评价。

QRS-waves integral can reflect the activities of ventricular depolarization. In this paper are analyzed the nonlinear characters in QRS-waves integral： reconstructing state space with these integral signals after nonlinear noise reduction, calculating its attractor dimension and the largest Lyapunov exponents. With the results based on MIT-BIH database we proposed that QRS-waves integral is of chaos nature. When compased with HRV nonlinear analysis, QRS-waves integral analysis was found to be of more advantages in some cases such as premature ventricular contraction. This QRS-waves integral nonlinear analysis may be of use in evaluating clinical cardiac function.